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Feature extraction is an essential part in applications that require computer vision to recognize objects in an image processed. To extract the features robustly, feature extraction algorithms are often very demanding in computation so that the performance achieved by pure software is far from real-time. Among those feature extraction algorithms, scale-invariant feature transform (SIFT) has gained...
This work presents a generic two-dimensional (2-D) Gaussian smoothing filter for noise image processing. The filter includes the power-of-two approximation arithmetic algorithm for the Gaussian coefficients and effective hardware design. We hope the proposed generic Gaussian smoothing filter is able to provide various levels of noise smoothing and reduction, which are highly desired in early stages...
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